Yris Brice Wandji Piugie, PhD

We deliver end-to-end services covering data collection, data analysis, AI strategy, and tailor-made AI solutions designed to unlock real business value.

Utocat is a provider of blockchain solutions for the banking and insurance industries. Missions: ○ Prediction of difficulty levels on UX via cursor and scroll positions on the screen ○ Labeling of user and bank sessions ○ Experience working with structured, semi-structured, and unstructured data files such as delimited numeric files, JSON/XML files, text documents, images, etc. ○ Document feature extraction schema (vectorization) ○ Training LLMs models (Transformer BERT, Llama3, Mistral, Ph3) on bank data (documents, online user sessions, etc.) ○ Identify the KPIs for measuring difficulties that are relevant to R&D/CIR objectives, and then commercial objectives ○ Model the KPIs that help understand the difficulties encountered: e.g. analysis of the population, their environment, their personality, etc., which will enable us to anticipate the difficulty in real-time ○ Produce information for CIR annual reports

○ Data Mining to Master 1 students ○ Machine Learning to Master 2 students ○ Supervision of Gen AI projects

*Supervision of Master 2 Research Projects of SUPINFO students from Paris, Caen, and Lille. *Courses: Deep Learning ○ Recall of ML - Perceptron - General structure of a neural network ○ Training of artificial neural networks - Convolutional neural networks (CNN) ○ Recurrent neural networks (RNN): LSTM, GRU - GAN, Diffusion networks *Courses: Business intelligence modeling and data warehouse ○ Business Intelligence and its main principles. ○ Data architecture and common technical building blocks (Datalake, DWH, DTM, etc.). ○ Business intelligence modeling ○ Power BI

Teaching Second year (Master 1) Computer Engineering Student Exercise courses (TD) and practical exercises (TP)

Data Scientist at UMS 3408, Unité Support CYCERON Université Caen Normandie, CNRS Particular Mission: ○ Explores and characterizes existing 3D/4D brain images data, ○ Translate societal issues into data science/IA problems, ○ Develops statistical models to predict, score and classify from times series data, ○ Demonstrates a concrete use of a model through a prototype on fMRI ○ Synthesizes, translates, and restores information useful for decision-making.

- Data Analyst - Image and Signal Processing - 3D/4D Images Data Analysis - Identification of MRI Brain Imaging Biomarkers

Teach mathematics, statistics , probability, physics, chemistry and computer science to students up to high school level and to students in preparatory classes of academic support courses by offering them some work tips.

Practical Work Monitor at the Research Unit of Condensed Matter, Electronics and Signal Processing (URMACETS) - Real-Time Data Acquisition - Modelisation of Dynamic Systems - eg: Nerve Modeling (FitzHugh–Nagumo model)

- Assistant Engineer - Maintenance technician - Interim agent